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Showing 4 results of 4

From: C M <cmp...@gm...> - 2010年09月25日 22:05:59
I'd like to offer a simplest possible example for embedding in
wxPython; significantly simpler and completely pared down compared to
either of the two that are shown here:
http://www.scipy.org/Matplotlib_figure_in_a_wx_panel
but I don't have access to modify the page. Doesn't anyone on the
list have that access, and
would that be welcome? My example is ~20 lines long.
Thanks,
Che
From: Jouni K. S. <jk...@ik...> - 2010年09月25日 19:11:58
Daniel Hyams <dh...@gm...> writes:
> I was playing around with draggable legends, and some strange things started
> happening (exception down in the depths of beckend_agg.py, accompanied by a
> long stack trace). To make a long story short, I can reproduce this in the
> draggable_legend.py example on the matplotlib website. All you have to do
> is change line 7 [...] to
>
> l = ax.legend(bbox_to_anchor=(.1,.1))
Apparently this creates a bounding box with zero width and height, which
causes NaNs to appear in various transforms later on. It seems that you
can get the same placement of the legend with
l = ax.legend(bbox_to_anchor=(0,0,.1,.1))
which creates a non-degenerate bounding box that doesn't have this
problem. A possibly simpler option is
l = ax.legend(loc=(-0.2,0.1))
which sets the position of the lower-left corner of the legend box so
you'll need to tweak the coordinates from what you used with
bbox_to_anchor.
> I'm sure that I'm not understanding the proper usage of
> bbox_to_anchor. 
I'm not sure either. It seems that the two-number form of the bounding
box is meant to create a degenerate bounding box so that any kind of
location specifier ("upper right", "lower center", etc) will always hit
that exact place, but perhaps naturally that makes it difficult to move
the box around.
-- 
Jouni K. Seppänen
http://www.iki.fi/jks
From: Jouni K. S. <jk...@ik...> - 2010年09月25日 12:15:56
John Salvatier <jsalvati@u.washington.edu> writes:
> Is there a way to do "asynchronous" plots in matplotlib? By asynchronous I
> mean plots that simply spawn a new process and do not stop the program while
> the plot is visible? 
In 2007 Bill Baxter made a package called ezplot that does plots in a
separate process via a remote procedure call interface. I don't think
the project has been continued since, so it might not be compatible with
current matplotlib, but it may be a useful starting point:
http://www.billbaxter.com/projects/ezplot/
-- 
Jouni K. Seppänen
http://www.iki.fi/jks
From: Daniel H. <dh...@gm...> - 2010年09月25日 05:31:27
I was playing around with draggable legends, and some strange things started
happening (exception down in the depths of beckend_agg.py, accompanied by a
long stack trace). To make a long story short, I can reproduce this in the
draggable_legend.py example on the matplotlib website. All you have to do
is change line 7 from
l = ax.legend()
to
l = ax.legend(bbox_to_anchor=(.1,.1))
Fire this up, and move the legend box with your mouse. It works. Move
again, exception raised.
I'm sure that I'm not understanding the proper usage of bbox_to_anchor. I
thought that i could use it to place the legend initially, and then let the
user drag the legend around if the placement wasn't satisfactory.
-- 
Daniel Hyams
dh...@gm...

Showing 4 results of 4

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